Authors: R.B. Geeta; Shashikumar G. Totad; Prasad Reddy; R.B. Shobha
Addresses: Department of Computer Science and Engineering, GMR Institute of Technology, GMR Nagar RAJAM-532127, Dist: Srikakulam Andhra Pradesh, India ' Department of Computer Science and Engineering, B.V. Bhoomaraddi College of Engineering and Technology, Hubli-580 031, Karnatak, India ' Department of CS and SE, Andhra University, Visakhapatnam – 530 003, Andhra Pradesh, India ' Department of ECE, Basaweshwar Engineering College, Vidyagiri, Bagalkot 587102, Karnataka, India
Abstract: This big data structure and usage mining coalition explain how to enhance link analysis considering website structure and web log file. Big data on the web can be viewed as a directed graph. Rank of a web page can be computed considering website structure and users behavioural activities. The behavioural access patterns through the web by various users help website administrator/website owners to take major decisions in categorising web pages of the website as highly demanding pages and medium demanding pages. The topology of the website along with log file statistics plays a vital role in categorising web pages of the website. Suitable auto optimisation metric is defined which provides guidelines for website designers/owners to restructure the website based on behavioural patterns of web users.
Keywords: big data structure mining; BSM; big data usage mining; BUM; weblog files; website topology; frequency; utility; webpages; web page rank; website restructuring; link analysis; web users; user behaviour; access patterns.
International Journal of Services Technology and Management, 2015 Vol.21 No.4/5/6, pp.252 - 271
Available online: 29 Dec 2015 *Full-text access for editors Access for subscribers Purchase this article Comment on this article